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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 9927
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    Explanations

    superlatives indicating extreme degrees of comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the superlative or extreme comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibilities
    -0.88
    etting
    -0.70
    ricks
    -0.66
    aily
    -0.64
    cair
    -0.63
    osponsors
    -0.62
    aughs
    -0.62
    mare
    -0.60
    rams
    -0.60
    ults
    -0.59
    POSITIVE LOGITS
     underrated
    0.89
     superior
    0.76
     preferable
    0.74
     coolest
    0.74
     deadliest
    0.72
     strongest
    0.67
     THE
    0.65
     surpass
    0.65
     "{
    0.65
     regarded
    0.64
    Activations Density 0.119%

    No Known Activations